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These images show Fair Rank Probability Skill Score of METFR-S4 prediction for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the maps of each of the four seasons over the period 1991-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively. For more information, see Scientific Technical Note Lee et al.

These images show Fair Continuous Rank Probability Skill Score of METFR-S4 prediction for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the maps of each of the four seasons over the period 1991-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively. For more information, see Scientific Technical Note Lee et al.

These images show temporal correlation coefficients of multi-model ensemble prediction for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the maps of each of the four seasons over the period 1991-2012 and 1981-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively.

These images show Root Mean Square Skill Score of multi-model ensemble prediction for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the maps of each of the four seasons over the period 1991-2012 and 1981-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively.

These images show Root Mean Square Skill Score of multi-model ensemble prediction for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the maps of each of the four seasons over the period 1991-2012 and 1981-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively.

These images show Fair Rank Probability Skill Score of multi-model ensemble prediction for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the maps of each of the four seasons over the period 1991-2012 and 1981-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively. For more information, see Scientific Technical Note Lee et al.

These images show difference maps of temporal correlation coefficients of two prediction systems for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the difference maps of each of the four seasons over the period 1991-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively.

These images show difference maps of temporal correlation coefficients of two prediction systems for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the difference maps of each of the four seasons over the period 1991-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively.

These images show difference maps of temporal correlation coefficients of two prediction systems for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the difference maps of each of the four seasons over the period 1991-2012 with 1 month lead time, for ERA-Interim and JRA-55 reanalysis respectively.

These images show reliability diagram of individual prediction systems and MME for raw, bias corrected (with cross-validation) and calibrated (with cross-validation) wind speed and temperature against two reanalyses (ERA-Interim and JRA-55). The images are organised in the four seasons over the period 1991-2012 (or 1981-2012) with 1 month lead time for globe, for ERA-Interim and JRA-55 reanalysis respectively.